RIVER: R package for RIVER (RNA-Informed Variant Effect on Regulation)

Version 1.4.0

An implementation of a probabilistic modeling framework
that jointly analyzes personal genome and transcriptome data to
estimate the probability that a variant has regulatory impact
in that individual. It is based on a generative model that
assumes that genomic annotations, such as the location of a
variant with respect to regulatory elements, determine the
prior probability that variant is a functional regulatory
variant, which is an unobserved variable. The functional
regulatory variant status then influences whether nearby genes
are likely to display outlier levels of gene expression in that
person. See the RIVER website for more information,
documentation and examples.